Deepva face dataset creation
Face Dataset Creation
Function description
Create your own face database
The images of individuals who cannot be recognised by pre-trained AI models due to their low profile or regional relevance, can be fed into the system fully automatically with Face Dataset Creation. Building your own AI models is often complex and time-consuming.
With this feature, dataset creation, as well as the creation and management of persons, is simple and can be done without specialist knowledge.
benefits
Transforming data into value
Provides end-to-end workflow with less human in the loop
Fully automated training data generation
Automatic generation of face recognition training data
use cases
Face Dataset Creation use cases
Automatically build a speaker dataset
How can I build up a dataset for my speaker recognition?
how it works
How does Face Dataset Creation work?
The training data required for facial recognition can be automatically extracted from the video if the person’s name and face are shown at the same time. This data is combined and stored in a separate dataset and made available as a custom AI model.
